Loading…

Single Cell Transcriptomic Analysis of the Multiple Myeloma Bone Marrow Identifies a Unique Inflammatory Stromal Cell Population Associated with TNF Signaling

Background: In multiple myeloma, tumor cell survival, disease progression and therapy response are influenced by signals derived from the non-malignant bone marrow niche. This notwithstanding, a detailed in-vivo definition of the cells that define the multiple myeloma niche is lacking. Mesenchymal s...

Full description

Saved in:
Bibliographic Details
Published in:Blood 2019-11, Vol.134 (Supplement_1), p.690-690
Main Authors: de Jong, Madelon M.E., Kellermayer, Zoltan, Papazian, Natalie, Duin, M, Broyl, Annemiek, Sonneveld, Pieter, Cupedo, Tom
Format: Article
Language:English
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Background: In multiple myeloma, tumor cell survival, disease progression and therapy response are influenced by signals derived from the non-malignant bone marrow niche. This notwithstanding, a detailed in-vivo definition of the cells that define the multiple myeloma niche is lacking. Mesenchymal stromal cells are important niche constituents. Recent progress made with single cell transciptomics suggests that mesenchymal stromal cells are a dynamic population of cells that can exist as several subsets with functionally distinct activation and differentiation profiles. Aim: To identify mesenchymal stromal cell subsets specific for the multiple myeloma bone marrow niche, by comparing stromal cells from myeloma patients to non-cancer controls. Methods: The non-hematopoietic bone marrow niche was isolated from viably frozen bone marrow aspirates from 10 newly diagnosed multiple myeloma patients (6 hyperdiploid, 3 t(11;14) and 1 with deletion of 17p) and 2 non-cancer controls using high speed cell sorting. The purified cells were analyzed by 10X Genomics single cell sequencing directly post-thawing, without prior cell culture. From 10 multiple myeloma patients we generated single cell transcriptomes with an average read-depth of 20,000 reads per cell of in total 12,000 niche cells and from the 2 non-cancer controls a total of 3,500 niche cells. Transcriptomes were pooled and subjected to clustering analyses using the Seurat package for R to identify genetically distinct clusters of niche cells and changes in these clusters associated specifically with multiple myeloma. Results: The bioinformatical analyses generated 10 distinct clusters of niche cells, all of which were present in both non-cancer and multiple myeloma bone marrow. One of these clusters contained CDH5+ endothelial cells while the remaining 9 clusters were subsets of CXCL12+LEPR+ mesenchymal stromal cells. Because samples were taken from the central marrow by aspiration, peripheral endosteal or neuronal lineage cells were not represented in these clusters. Gene Set Enrichment Analysis (GSEA) of the stromal cell clusters from myeloma versus non-cancer controls revealed two significantly altered pathways: TNF signaling via NF-kB and Inflammatory response. Detailed analyses of the individual stromal cell clusters identified two clusters that were responsible for the inflammatory changes identified by GSEA. Both clusters were present in all myeloma patients, constituted on average 20% of total stroma
ISSN:0006-4971
1528-0020
DOI:10.1182/blood-2019-123012